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integrated sensor arrays. The project combines several different concepts: Progress in understanding insect neurobiology that provides proven circuit designs to solve significant problems such as autonomous
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understanding insect neurobiology that provides proven circuit designs to solve significant problems such as autonomous navigation; Advanced III-V semiconductor nanowire technology that exploits light to obtain a
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data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models, and other ML methods for analyzing and discovering patterns in probability distributions in
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based separation of blood from animal experiments experience of 3D-design in Fusion 360 and 3D-manufacturing of microfluidic systems experience of statsitical assessment of clinical chemistry data
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and written proficiency in English Additional requirements: experience of acoustofluidic based separation of blood from animal experiments experience of 3D-design in Fusion 360 and 3D-manufacturing
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methods for optimized data analysis, Machine learning-based image segmentation of tomographic data (e.g., synchrotron X-ray microtomography), Design and use of autoencoders (VAEs, GANs), diffusion models
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). Experience working in an accredited laboratory (ISO 17025 or ISO 15189) and conducting biological risk assessments is considered a merit. Proven ability to independently plan, execute, and interpret
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-performing, and collaborative PhD student to join our dynamic and international research group at Mid Sweden University, comprising over 30 researchers from around the world, all passionate about innovation